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researcher

S. Dong

28 papers hereh-index 353.8k citations105 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author4
  • first author8
  • middle author3
  • last author11

Across the 26 of 28 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn13
  • math.NA8
  • physics.comp-ph7
same name
  • S. Dong — 184 papers, h 54
  • S. Dong — 121 papers, h 45
  • S. Dong — 70 papers, h 24
  • S. Dong — 54 papers, h 58
  • S. Dong — 21 papers, h 28
  • S. Dong — 17 papers, h 21

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedLocal Extreme Learning Machines and Domain Decomposition for Solving Linear and Nonlinear Partial Differential Equations

230 citations · 1.3k across the 27 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

physics.comp-ph2021★ 61 cited

On Computing the Hyperparameter of Extreme Learning Machines: Algorithm and Application to Computational PDEs, and Comparison with Classical and High-Order Finite Elements

Suchuan Dong, Jielin Yang

We consider the use of extreme learning machines (ELM) for computational partial differential equations (PDE). In ELM the hidden-layer coefficients in the neural network are assign…

physics.flu-dyn2021

Marangoni Convection-Driven Laser Fountains and Waves on Free Surfaces of Liquids

Feng Lin, Aamir Nasir Quraishy, Tian Tong +18

It is well accepted that an outward Marangoni convection from a low surface tension region will make the surface depressed. Here, we report that this established perception is only…

physics.comp-ph2021★ 42 cited

A Modified Batch Intrinsic Plasticity Method for Pre-training the Random Coefficients of Extreme Learning Machines

Suchuan Dong, Zongwei Li

In extreme learning machines (ELM) the hidden-layer coefficients are randomly set and fixed, while the output-layer coefficients of the neural network are computed by a least squar…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.